Transcript CHAPTER 3: Cyclic Codes

IV054 CHAPTER 3: Cyclic and convolution codes
Cyclic codes are of interest and importance because
• They posses rich algebraic structure that can be utilized in a variety
of ways.
• They have extremely concise specifications.
• They can be efficiently implemented using simple shift registers.
• Many practically important codes are cyclic.
Convolution codes allow to encode streams od data (bits).
Cyclic codes
1
IMPORTANT NOTE
In order to specify a binary code with 2k codewords of length n one may need
to write down
2k
codewords of length n.
In order to specify a linear binary code with 2k codewords of length n it is sufficient
to write down
k
codewords of length n.
In order to specify a binary cyclic code with 2k codewords of length n it is sufficient
to write down
1
codeword of length n.
Cyclic codes
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IV054 BASIC DEFINITION AND EXAMPLES
Definition A code C is cyclic if
(i) C is a linear code;
(ii) any cyclic shift of a codeword is also a codeword, i.e. whenever a0,… an -1  C,
then also an -1 a0 … an –2  C.
Example
(i) Code C = {000, 101, 011, 110} is cyclic.
(ii) Hamming code Ham(3, 2): with the generator matrix
1

0
G 
0

0

code.
0
0
0
0
1
1
0
0
1
0
0
1
0
1
1
0
0
1
1
1
0
1
1
1
1

2 
1

1
0

1 
is equivalent to a cyclic
(iii) The binary linear code {0000, 1001, 0110, 1111} is not a cyclic, but it is
equivalent to a cyclic code.
(iv) Is Hamming code Ham(2, 3) with the generator matrix
(a) cyclic?
(b) equivalent to a cyclic code?
Cyclic codes
1

0
3
IV054 FREQUENCY of CYCLIC CODES
Comparing with linear codes, the cyclic codes are quite scarce. For,
example there are 11 811 linear (7,3) linear binary codes, but only two
of them are cyclic.
Trivial cyclic codes. For any field F and any integer n >= 3 there are
always the following cyclic codes of length n over F:
• No-information code - code consisting of just one all-zero codeword.
• Repetition code - code consisting of codewords (a, a, …,a) for a  F.
• Single-parity-check code - code consisting of all codewords with
parity 0.
• No-parity code - code consisting of all codewords of length n
For some cases, for example for n = 19 and F = GF(2), the above four
trivial cyclic codes are the only cyclic codes.
Cyclic codes
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IV054 EXAMPLE of a CYCLIC CODE
The code with the generator matrix
1

G  0
0

0
1
1
1
0
1
0
1
1
1
0
1
0
1
1
0

0
1 
has codewords
c1 = 1011100
c2 = 0101110
c3 =0010111
c1 + c2 = 1110010
c1 + c3 = 1001011
c2 + c3 = 0111001
c1 + c2 + c3 = 1100101
and it is cyclic because the right shifts have the following impacts
c1  c2,
c2  c3,
c3  c1 + c3
c1 + c2  c2 + c3,
c1 + c3  c1 + c2 + c3,
c2 + c3  c1
c1 + c2 + c3  c1 + c2
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IV054 POLYNOMIALS over GF(q)
A codeword of a cyclic code is usually denoted
a0 a1…an -1
and to each such a codeword the polynomial
a0 + a1 x + a2 x2 + … + an -1 xn -1
is associated.
Fq[x] denotes the set of all polynomials over GF(q ).
deg (f(x )) = the largest m such that xm has a non-zero coefficient in f(x).
Multiplication of polynomials If f(x), g(x) Fq[x], then
deg (f(x) g(x)) = deg (f(x)) + deg (g(x)).
Division of polynomials For every pair of polynomials a(x), b(x)  0 in Fq[x] there
exists a unique pair of polynomials q(x), r(x) in Fq[x] such that
a(x) = q(x)b(x) + r(x), deg (r(x)) < deg (b(x)).
Example Divide x3 + x + 1 by x2 + x + 1 in F2[x].
Definition Let f(x) be a fixed polynomial in Fq[x]. Two polynomials g(x), h(x) are said
to be congruent modulo f(x), notation
g(x)  h(x) (mod f(x)),
if g(x) - h(x) is divisible by f(x).
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IV054 RING of POLYNOMIALS
The set of polynomials in Fq[x] of degree less than deg (f(x)), with addition and
multiplication modulo f(x) forms a ring denoted Fq[x]/f(x).
Example Calculate (x + 1)2 in F2[x] / (x2 + x + 1). It holds
(x + 1)2 = x2 + 2x + 1  x2 + 1  x (mod x2 + x + 1).
How many elements has Fq[x] / f(x)?
Result | Fq[x] / f(x) | = q deg (f(x)).
Example Addition and multiplication in F2[x] / (x2 + x + 1)
+
0
1
x
1+x

0
1
x
1+x
0
0
1
x
1+x
0
0
0
0
0
1
1
0
1+x
x
1
0
1
X
1+x
x
x
1+x
0
1
x
0
x
1+x
1
1+x
1+x
x
1
0
1+x
0
1+x
1
x
Definition A polynomial f(x) in Fq[x] is said to be reducible if f(x) = a(x)b(x), where
a(x), b(x)  Fq[x] and
deg (a(x)) < deg (f(x)),
deg (b(x)) < deg (f(x)).
If f(x) is not reducible, it is irreducible in Fq[x].
Theorem The ring Fq[x] / f(x) is a field if f(x) is irreducible in Fq[x].
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IV054 FIELD Rn, Rn = Fq[x] / (xn - 1)
Computation modulo xn – 1
Since xn  1 (mod xn -1) we can compute f(x) mod xn -1 as follow:
In f(x) replace xn by 1, xn +1 by x, xn +2 by x2, xn +3 by x3, …
Identification of words with polynomials
a0 a1… an -1  a0 + a1 x + a2 x2 + … + an -1 xn -1
Multiplication by x in Rn corresponds to a single cyclic shift
x (a0 + a1 x + … an -1 xn -1) = an -1 + a0 x + a1 x2 + … + an -2 xn -1
Cyclic codes
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IV054 Algebraic characterization of cyclic codes
Theorem A code C is cyclic if C satisfies two conditions
(i) a(x), b(x)  C  a(x) + b(x)  C
(ii) a(x)  C, r(x)  Rn  r(x)a(x)  C
Proof
(1) Let C be a cyclic code. C is linear  (i) holds.
(ii) Let a(x)  C, r(x) = r0 + r1x + … + rn -1xn -1
r(x)a(x) = r0a(x) + r1xa(x) + … + rn -1xn -1a(x)
is in C by (i) because summands are cyclic shifts of a(x).
(2) Let (i) and (ii) hold
 Taking r(x) to be a scalar the conditions imply linearity of C.
 Taking r(x) = x the conditions imply cyclicity of C.
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IV054 CONSTRUCTION of CYCLIC CODES
Notation If f(x)  Rn, then
f(x) = {r(x)f(x) | r(x)  Rn}
(multiplication is modulo xn -1).
Theorem For any f(x)  Rn, the set f(x) is a cyclic code (generated by f).
Proof We check conditions (i) and (ii) of the previous theorem.
(i) If a(x)f(x)  f(x) and b(x)f(x)  f(x), then
a(x)f(x) + b(x)f(x) = (a(x) + b(x)) f(x)  f(x)
(ii) If a(x)f(x)  f(x), r(x)  Rn, then
r(x) (a(x)f(x)) = (r(x)a(x)) f(x)  f(x).
Example C = 1 + x2 , n = 3, q = 2.
We have to compute r(x)(1 + x2) for all r(x)  R3.
R3 = {0, 1, x, 1 + x, x2, 1 + x2, x + x2, 1 + x + x2}.
Result
Cyclic codes
C = {0, 1 + x, 1 + x2, x + x2}
C = {000, 011, 101, 110}
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IV054 Characterization theorem for cyclic codes
We show that all cyclic codes C have the form C = f(x) for some f(x)  Rn.
Theorem Let C be a non-zero cyclic code in Rn. Then
• there exists unique monic polynomial g(x) of the smallest degree such that
• C = g(x)
• g(x) is a factor of xn -1.
Proof
(i) Suppose g(x) and h(x) are two monic polynomials in C of the smallest degree.
Then the polynomial g(x) - h(x)  C and it has a smaller degree and a multiplication
by a scalar makes out of it a monic polynomial. If g(x)  h(x) we get a contradiction.
(ii) Suppose a(x)  C.
Then
a(x) = q(x)g(x) + r(x)
(deg r(x) < deg g(x))
and
r(x) = a(x) - q(x)g(x)  C.
By minimality
r(x) = 0
and therefore a(x) g(x).
Cyclic codes
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IV054 Characterization theorem for cyclic codes
(iii) Clearly,
xn –1 = q(x)g(x) + r(x) with deg r(x) < deg g(x)
and therefore
r(x)  -q(x)g(x) (mod xn -1) and
r(x)  C  r(x) = 0  g(x) is a factor of xn -1.
GENERATOR POLYNOMIALS
Definition If for a cyclic code C it holds
C = g(x),
then g is called the generator polynomial for the code C.
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IV054 HOW TO DESIGN CYCLIC CODES?
The last claim of the previous theorem gives a recipe to get all cyclic codes of
given length n.
Indeed, all we need to do is to find all factors of
xn -1.
Problem: Find all binary cyclic codes of length 3.
Solution: Since
x3 – 1 =
(x + 1)(x2 + x + 1)
both factors are irreducible in GF(2)
we have the following generator polynomials and codes.
Generator polynomials
1
x+1
x2 + x + 1
x3 – 1 ( = 0)
Cyclic codes
Code in R3
R3
{0, 1 + x, x + x2, 1 + x2}
{0, 1 + x + x2}
{0}
Code in V(3,2)
V(3,2)
{000, 110, 011, 101}
{000, 111}
{000}
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IV054 Design of generator matrices for cyclic codes
Theorem Suppose C is a cyclic code of codewords of length n with the generator polynomial
g(x) = g0 + g1x + … + grxr.
Then dim (C) = n - r and a generator matrix G1 for C is
 g0

 0
G1   0

 ..

 0
g1
g2
...
gr
0
0
0
...
g0
g1
g2
...
gr
0
0
...
0
g0
g1
g2
...
gr
0
...
..
0 

0 
0 

.. 

gr 
0
...
0
0
...
0
g 0 ...
Proof
(i) All rows of G1 are linearly independent.
(ii) The n - r rows of G represent codewords
g(x), xg(x), x2g(x),…, xn -r -1g(x)
(*)
(iii) It remains to show that every codeword in C can be expressed as a linear combination of
vectors from (*).
Inded, if a(x)  C, then
a(x) = q(x)g(x).
Since deg a(x) < n we have deg q(x) < n - r.
Hence
q(x)g(x) = (q0 + q1x + … + qn -r -1xn -r -1)g(x)
= q0g(x) + q1xg(x) + … + qn -r -1xn -r -1g(x).
Cyclic codes
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IV054 EXAMPLE
The task is to determine all ternary codes of length 4 and generators for them.
Factorization of x4 - 1 over GF(3) has the form
x4 - 1 = (x - 1)(x3 + x2 + x + 1) = (x - 1)(x + 1)(x2 + 1)
Therefore there are 23 = 8 divisors of x4 - 1 and each generates a cyclic code.
Generator polynomial
1
x
x+1
x2 + 1
(x - 1)(x + 1) = x2 - 1
(x - 1)(x2 + 1) = x3 - x2 + x - 1
(x + 1)(x2 + 1)
x4 - 1 = 0
Cyclic codes
Generator matrix
I4
 1

0

 0
1
0
1
1
0
1
1

0

 0
1
0
1
1
0
1
1

0
0
1
1
0
 1

 0
0

0

1 
0

0

1 
0

1
0
1
1
0
0

1
[ -1 1 -1 1 ]
[1111]
[0000]
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IV054
Check polynomials and parity check matrices for cyclic codes
Let C be a cyclic [n,k]-code with the generator polynomial g(x) (of degree n - k). By
the last theorem g(x) is a factor of xn - 1. Hence
xn - 1 = g(x)h(x)
for some h(x) of degree k (where h(x) is called the check polynomial of C).
Theorem Let C be a cyclic code in Rn with a generator polynomial g(x) and a check
polynomial h(x). Then an c(x)  Rn is a codeword of C if c(x)h(x)  0 - this and next
congruences are modulo xn - 1.
Proof Note, that g(x)h(x) = xn - 1  0
(i) c(x)  C  c(x) = a(x)g(x) for some a(x)  Rn
 c(x)h(x) = a(x) g(x)h(x)  0.
0
(ii) c(x)h(x)  0
c(x) = q(x)g(x) + r(x), deg r(x) < n – k = deg g(x)
c(x)h(x)  0  r(x)h(x)  0 (mod xn - 1)
Since deg (r(x)h(x)) < n – k + k = n, we have r(x)h(x) = 0 in F[x] and therefore
r(x) = 0  c(x) = q(x)g(x)  C.
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IV054 POLYNOMIAL REPRESENTATION of DUAL CODES
Since dim (h(x)) = n - k = dim (C^) we might easily be fooled to think that the
check polynomial h(x) of the code C generates the dual code C^.
Reality is “slightly different'':
Theorem Suppose C is a cyclic [n,k]-code with the check polynomial
h(x) = h0 + h1x + … + hkxk,
then
(i) a parity-check matrix for C is
 hk

 0
H 
..

 0

h k 1
...
h0
0
...
hk
...
h1
h0
...
...
0
hk
...
..
0
0 

0 


h 0 
(ii) C^ is the cyclic code generated by the polynomial
h  x   h k  h k 1 x  ...  h 0 x
k
i.e. the reciprocal polynomial of h(x).
Cyclic codes
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IV054 POLYNOMIAL REPRESENTATION of DUAL CODES
Proof A polynomial c(x) = c0 + c1x + … + cn -1xn –1 represents a code from C if
c(x)h(x) = 0. For c(x)h(x) to be 0 the coefficients at xk,…, xn -1 must be zero, i.e.
c 0 h k  c1 h k 1  ...  c k h 0  0
c1 h k  c 2 h k 1  ...  c k  1 h 0  0
..
..
c n  k 1 h k  c n  k h k 1  ...  c n 1 h 0  0
Therefore, any codeword c0 c1… cn -1  C is orthogonal to the word hk hk -1…h000…0
and to its cyclic shifts.
Rows of the matrix H are therefore in C^. Moreover, since hk = 1, these row-vectors
are linearly independent. Their number is n - k = dim (C^). Hence H is a generator
matrix for C^, i.e. a parity-check matrix for C.
In order to show that C^ is a cyclic code generated by the polynomial
h  x   h k  h k 1 x  ...  h 0 x
k
it is sufficient to show that h  x  is a factor of xn -1.
Observe that h  x   x k h  x  1  and since
h(x -1)g(x -1) = (x -1)n -1
we have that
xkh(x -1)xn -kg(x -1) = xn(x –n -1) = 1 – xn
and therefore h  x  is indeed a factor of xn -1.
Cyclic codes
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IV054 ENCODING with CYCLIC CODES I
Encoding using a cyclic code can be done by a multiplication of two polynomials - a
message polynomial and the generating polynomial for the cyclic code.
Let C be an (n,k)-code over an field F with the generator polynomial
g(x) = g0 + g1 x + … + gr –1 x r -1 of degree r = n - k.
If a message vector m is represented by a polynomial m(x) of degree k and m is
encoded by
m  c = mG1,
then the following relation between m(x) and c(x) holds
c(x) = m(x)g(x).
Such an encoding can be realized by the shift register shown in Figure below,
where input is the k-bit message to be encoded followed by n - k 0' and the output
will be the encoded message.
Shift-register encodings of cyclic codes. Small circles represent multiplication by
the corresponding constant,  nodes represent modular addition, squares are
delay elements
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IV054 ENCODING of CYCLIC CODES II
Another method for encoding of cyclic codes is based on the following (so called
systematic) representation of the generator and parity-check matrices for cyclic
codes.
Theorem Let C be an (n,k)-code with generator polynomial g(x) and r = n - k. For
i = 0,1,…,k - 1, let G2,i be the length n vector whose polynomial is G2,i(x) = x r+I -x r+I
mod g(x). Then the k * n matrix G2 with row vectors G2,I is a generator matrix for C.
Moreover, if H2,J is the length n vector corresponding to polynomial H2,J(x) = xj mod
g(x), then the r * n matrix H2 with row vectors H2,J is a parity check matrix for C. If
the message vector m is encoded by
m  c = mG2,
then the relation between corresponding polynomials is
c(x) = xrm(x) - [xrm(x)] mod g(x).
On this basis one can construct the following shift-register encoder for the case of
a systematic representation of the generator for a cyclic code:
Shift-register encoder for systematic representation of cyclic codes. Switch A is
closed for first k ticks and closed for last r ticks; switch B is down for first k ticks and
up for last r ticks.
Cyclic codes
20
IV054 Hamming codes as cyclic codes
Definition (Again!) Let r be a positive integer and let H be an r * (2r -1)
matrix whose columns are distinct non-zero vectors of V(r,2). Then the
code having H as its parity-check matrix is called binary Hamming
code denoted by Ham (r,2).
It can be shown that binary Hamming codes are equivalent to cyclic
codes.
Theorem The binary Hamming code Ham (r,2) is equivalent to a cyclic
code.
Definition If p(x) is an irreducible polynomial of degree r such that x is a
primitive element of the field F[x] / p(x), then p(x) is called a primitive
polynomial.
Theorem If p(x) is a primitive polynomial over GF(2) of degree r, then
the cyclic code p(x) is the code Ham (r,2).
Cyclic codes
21
IV054 Hamming codes as cyclic codes
Example Polynomial x3 + x + 1 is irreducible over GF(2) and x is
primitive element of the field F2[x] / (x3 + x + 1).
F2[x] / (x3 + x + 1) =
{0, x, x2, x3 = x + 1, x4 = x2 + x, x5 = x2 + x + 1, x6 = x2 + 1}
The parity-check matrix for a cyclic version of Ham (3,2)
1

H  0
0

Cyclic codes
0
0
1
0
1
1
0
1
1
1
0
1
0
1
1
1

0
1 
22
IV054 PROOF of THEOREM
The binary Hamming code Ham (r,2) is equivalent to a cyclic code.
It is known from algebra that if p(x) is an irreducible polynomial of degree r, then
the ring F2[x] / p(x) is a field of order 2r.
In addition, every finite field has a primitive element. Therefore, there exists an
element a of F2[x] / p(x) such that
F2[x] / p(x) = {0, 1, a, a2,…, a2r –2}.
Let us identify an element a0 + a1 + … ar -1xr -1 of F2[x] / p(x) with the column vector
(a0, a1,…, ar -1)T
and consider the binary r * (2r -1) matrix
H = [ 1 a a2 … a2^r –2 ].
Let now C be the binary linear code having H as a parity check matrix.
Since the columns of H are all distinct non-zero vectors of V(r,2), C = Ham (r,2).
Putting n = 2r -1 we get
C = {f0 f1 … fn -1  V(n, 2) | f0 + f1 a + … + fn -1 an –1 = 0
(2)
= {f(x)  Rn | f(a) = 0 in F2[x] / p(x)}
(3)
If f(x)  C and r(x)  Rn, then r(x)f(x)  C because
r(a)f(a) = r(a)  0 = 0
and therefore, by one of the previous theorems, this version of Ham (r,2) is cyclic.
Cyclic codes
23
IV054 BCH codes and Reed-Solomon codes
To the most important cyclic codes for applications belong BCH codes and ReedSolomon codes.
Definition A polynomial p is said to be minimal for a complex number x in Zq if p(x) =
0 and p is irreducible over Zq.
Definition A cyclic code of codewords of length n over Zq, q = pr, p is a prime, is
called BCH code1 of distance d if its generator g(x) is the least common multiple of
the minimal polynomials for
w l, w l +1,…, w l +d –2
for some l, where
w is the primitive n-th root of unity.
If n = qm - 1 for some m, then the BCH code is called primitive.
Definition A Reed-Solomon code is a primitive BCH code with n = q - 1.
Properties:
• Reed-Solomon codes are self-dual.
1BHC
stands for Bose and Ray-Chaudhuri and Hocquenghem who discovered
these codes.
Cyclic codes
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IV054 CONVOLUTION CODES
Very often it is important to encode an infinite stream or several streams of data –
say bits.
Convolution codes, with simple encoding and decoding, are quite a simple
generalization of linear codes and have encodings as cyclic codes.
An (n,k) convolution code (CC) is defined by an k x n generator matrix,
entries of which are polynomials over F2
For example,
G1  [ x
2
 1, x
2
 x  1]
is the generator matrix for a (2,1) convolution code CC1 and
1  x
G2  
 0

0
1
x  1

x 

is the generator matrix for a (3,2) convolution code CC2
Cyclic codes
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IV054 ENCODING of FINITE POLYNOMIALS
An (n,k) convolution code with a k x n generator matrix G can be usd to encode a
k-tuple of plain-polynomials (polynomial input information)
I=(I0(x), I1(X),…,Ik-1(x))
to get an n-tuple of crypto-polynomials
C=(C0(x), C1(x),…,Cn-1(x))
As follows
C= I . G
Cyclic codes
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EXAMPLES
EXAMPLE 1
(x3 + x + 1).G1 = (x3 + x + 1) . (x2 + 1, x2 + x + 1]
= (x5 + x2 + x + 1, x5 + x4 + 1)
EXAMPLE 2
 1 0 x  1

( x  x , x  1). G 2  ( x  x , x  1). 
01 x 
2
Cyclic codes
3
2
3
27
IV054 ENCODING of INFINITE INPUT STREAMS
The way infinite streams are encoded using convolution codes will be
Illustrated on the code CC1.
An input stream I = (I0, I1, I2,…) is mapped into the output stream
C= (C00, C10, C01, C11…) defined by
C0(x) = C00 + C01x + … = (x2 + 1) I(x)
and
C1(x) = C10 + C11x + … = (x2 + x + 1) I(x).
The first multiplication can be done by the first shift register from the next
figure; second multiplication can be performed by the second shift register
on the next slide and it holds
C0i = Ii + Ii+2,
C1i = Ii + Ii-1 + Ii-2.
That is the output streams C0 and C1 are obtained by convolving the input
stream with polynomials of G1’
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IV054
ENCODING
The first shift register
output

input
1
x2
x
will multiply the input stream by x2+1 and the second shift register
output

input
1
x
x2
will multiply the input stream by x2+x+1.
Cyclic codes
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IV054 ENCODING and DECODING
The following shift-register will therefore be an encoder for the
code CC1

I
1
x
C00,C01,C02
x2

Output streams
C10,C11,C12
For encoding of convolution codes so called
Viterbi algorithm
Is used.
Cyclic codes
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